Multitask Deep Learning Enabling a Synergy for Cadmium and Methane Mitigation with Biochar Amendments in Paddy Soils.

Biochar has demonstrated significant promise in addressing heavy metal contamination and methane (CH4) emissions in paddy soils; however, achieving a synergy between these two goals is challenging due to various variables, including the characteristics of biochar and soil properties that influence biochar's performance. Here, we successfully developed an interpretable multitask deep learning (MTDL) model by employing a tensor tracking paradigm to facilitate parameter sharing between two separate data sets, enabling a synergy between Cd and CH4 mitigation with biochar amendments. The characteristics of biochar contribute similar weightings of 67.9% and 62.5% to Cd and CH4 mitigation, respectively, but their relative importance in determining biochar's performance varies significantly. Notably, this MTDL model excels in custom-tailoring biochar to synergistically mitigate Cd and CH4 in paddy soils across a wide geographic range, surpassing traditional machine learning models. Our findings deepen our understanding of the interactive effects of Cd and CH4 mitigation with biochar amendments in paddy soils, and they also potentially extend the application of artificial intelligence in sustainable environmental remediation, especially when dealing with multiple objectives.

Integration with carbon capture technology enables a positive carbon balance for sustainable rice paddy remediation with calcium­silicon composites.

In situ stabilization technologies based on lime-derived materials are extensively used for remediating Cd-contaminated paddy soils. However, the environmental impacts and carbon budget associated with these technologies throughout the paddy soil remediation life cycle are gaining increasing attention. Herein, through paddy field trials, two representative lime-derived materials, quicklime and calcium-silicon composite (Ca/Si), are evaluated for their remediation effectiveness and environmental sustainability in the remediation of Cd-contaminated soils. The results demonstrate that both quicklime and Ca/Si can reduce Cd bioavailability and enable the safe use of rice grain. Nevertheless, the life cycle assessment score of the quicklime case is 4.4 times that of the Ca/Si case, indicating that the quicklime case has a greater negative impact on the environment. Furthermore, the net ecosystem carbon budget analysis reveals that both lime-derived materials exhibit outward carbon emissions throughout their life cycle, in which the carbon emission of the quicklime case (-20.2 t CO2-eq/ha) is 20 times that of the Ca/Si case (-1 t CO2-eq/ha). Moreover, the implementation of carbon capture technology results in the Ca/Si case achieving a positive carbon budget and contributing to a carbon neutrality plan. Conversely, the quicklime case falls short, affording only a 24.8 % reduction in carbon emissions. Overall, this study provides valuable insights into the environmental sustainability of different lime-derived materials for paddy soil remediation and carbon mitigation.

Sustainability assessment and carbon budget of chemical stabilization based multi-objective remediation of Cd contaminated paddy field.

The feasibility of chemical stabilization-based strategy for extensive field application is under debate due to lacking a proper framework for its sustainability assessment during its life cycle. Herein, a comprehensive framework consisting of crop production, soil quality, and carbon footprint was constructed for assessing agricultural land remediation based on a two-year paddy field trial. Results show that between the two representative agents, biochar scenario substantially benefits for environmental, social, and agricultural sustainability, because of its more positive impacts on human health and ecosystem, public acceptance, soil reproductive, and rice yield. A notably higher sustainability score of 80.7 for biochar scenario than that of 47.0 for lime is found, in spite of the economical sustainability of lime. The net ecosystem carbon budget of the biochar scenario exhibits an unprecedentedly positive value of 17.8 t CO2-eq ha-1, which can finely contribute to a positive carbon budget during remediation. Our finding demonstrates that biochar strategy enables a multi-objective achievement of soil quality - crop production - carbon budget during agricultural land remediation. This study provides new insights into sustainability assessment for restoring agricultural land for safe crop production and synergizing with carbon neutral plan.